code: def extra_repr(self):
      s = "{}, kernel_size={}, padding_l={}, num_heads={}, weight_softmax={}, bias={}".format(
          self.input_size,
          self.kernel_size,
          self.padding_l,
          self.num_heads,
          self.weight_softmax,
          self.has_bias,
      )
      return s
  
file_path: pytext/pytext/models/seq_models/light_conv.py
imports: from typing import Dict, Optional
  import torch.jit
  import torch.nn
  from pytext.config import ConfigBase
  from torch import Tensor
  from .base import PyTextIncrementalDecoderComponent
  from .utils import unfold1d
label_desc: Use image node_id 9 for calling the LightweightConv obj's underlying member method code with example usage: obj.extra_repr() and returns: s